Abstract
This paper research Paris-MOU NIR (New Inspection Regime) of latest PSC rules of 2009/16/EC, Combining the rough set theory with hierarchic analysis model in view of not reduce efficient classify information, introducing the definition of importance into non-core attributes, a new data reduction algorithm is proposed and put forward an algorithm of PSC ship-selecting system. The results reveal that the algorithm is able to resolve data reduction problem and simplify network structure.
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Sun, Z., Yang, T. (2011). Target Factor Algorithm of PSC Ship-Selecting System Based on Rough Set Theory and Hierarchic Analysis. In: Wang, Y., Li, T. (eds) Foundations of Intelligent Systems. Advances in Intelligent and Soft Computing, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25664-6_15
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DOI: https://doi.org/10.1007/978-3-642-25664-6_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25663-9
Online ISBN: 978-3-642-25664-6
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